Published on in Vol 10 , No 6 (2022) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36958, first published .
Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Hao Yang 1 * , MSc ;   Jiaxi Li 2 * , MSc ;   Siru Liu 3 , PhD ;   Xiaoling Yang 4 , MSc ;   Jialin Liu 1, 5 , MD

1 Information Center , West China Hospital , Sichuan University , Chengdu , CN

2 Department of Clinical Laboratory Medicine , Jinniu Maternity and Child Health Hospital of Chengdu , Chengdu , CN

3 Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , TN , US

4 West China School of Nursing, Endocrinology and Metabolism Department , West China Hospital , Sichuan University , Chengdu , CN

5 Department of Medical Informatics , West China Medical School , Chengdu , CN

*these authors contributed equally

Corresponding Author:

  • Jialin Liu, MD
  • Information Center
  • West China Hospital
  • Sichuan University
  • No 37 Guoxue Road
  • Chengdu
  • CN
  • Phone: 86 28-85422306
  • Email: dljl8@163.com